IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37
DOI: 10.1109/infcom.2003.1208684
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User-level performance of channel-aware scheduling algorithms in wireless data networks

Abstract: C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a PNA Probability, Networks and Algorithms Probability, Networks and AlgorithmsUser-level performance of channel-aware scheduling algorithms in wireless data networks Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in wireless data networks by exploiting channel fluctuations. The performance of channel-aware scheduling algor… Show more

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Cited by 240 publications
(93 citation statements)
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References 16 publications
(10 reference statements)
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“…The aggregate throughput becomes smaller given a larger α. 7 Below we will see that the above feature derives the MAC-layer cell breathing given multiple neighboring cells.…”
Section: Call (Ms) Admission Controlmentioning
confidence: 96%
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“…The aggregate throughput becomes smaller given a larger α. 7 Below we will see that the above feature derives the MAC-layer cell breathing given multiple neighboring cells.…”
Section: Call (Ms) Admission Controlmentioning
confidence: 96%
“…Recently much attention has been devoted to opportunistic downlink scheduling algorithms [1,2,3,4,5,6,7] that exploit the asynchronous peaks of fading channels of multiple Mobile Stations (MSs) in a single cell. A time-slotted downlink shared data channel, together with the associated signaling and control channels, supports those MSs for the highspeed downlink packet access.…”
Section: Motivationmentioning
confidence: 99%
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“…For these algorithms, decision metric consists of two parts. One part is highly dependent on channel conditions and the other part has fixed QoS related parameter [2]. One very famous scheduling method used in CDMA2000 1xEVDO network is proportional fairness (PF) scheduling method [3].…”
Section: Introductionmentioning
confidence: 99%
“…Obviously, there is a trade-off between providing QoS guarantee and optimizing throughput. Many efforts have been accomplished in the literature before and several approaches have been developed which provide some QoS while still achieving a reasonable throughput [16][17][18]. However, adaptively compromising this trade-off has been also the challenging subject of some efforts in the literature and some approaches have been proposed which tune the trade-off in an adaptive manner.…”
Section: Introductionmentioning
confidence: 99%